background : using two logistic regression models, we determined the associates of poor physical and mental health related quality of life (hrqol) among beta thalassemia patients. methods : in this cross-sectional study which was conducted during 2006 and 2007 in outpatient adult thalassemia clinic, blood transfusion organization, tehran, iran, short form 36 (sf-36) was used for measuring hrqol...

The beta regression model (BRM) is used when the dependent variable may take continuous values and be bounded in interval (0, 1), such as rates, proportions, percentages fractions. Generally, parameters of BRM are estimated by method maximum likelihood estimation (MLE). However, MLE does not offer accurate reliable estimates explanatory variables correlated. To solve this problem, ridge Liu est...

previous studies have shown that when people enter a new cultural environment which is different from their own culture, they face a lot of problems to adapt themselves with the new environment. this may result in intense dissatisfaction with the new situation. the data for the present study were collected from a randomly-selected sample of 300 people, from among a population of 1100, through q...

Blood pressure-lowering therapy reduces left ventricular mass, but the question of whether differences exist among drug classes has not been fully resolved. Our aim was to compare the effects of diuretics, beta-blockers, calcium channel blockers, angiotensin-converting enzyme inhibitors, and angiotensin receptor blockers on left ventricular mass regression in patients with hypertension on the b...

Beta Regression, an extension of generalized linear models, can estimate the effect of explanatory variables on data falling within the (0,1) interval. Recent developments in Beta Regression theory extend the support interval to now include 0 and 1. The %Beta_Regression macro is updated to now allow for Zero-One Inflated Beta Regression.

Using the spectrum data for quality prediction always suffers from noise and colinearity, so variable selection method plays an important role to deal with spectrum data. An efficient elastic net with regression coefficients method (Enet-BETA) is proposed to select the significant variables of the spectrum data in this paper. The proposed Enet-BETA method can not only select important variables...